| Network embedding as matrix factorization: Unifying deepwalk, line, pte, and node2vec J Qiu, Y Dong, H Ma, J Li, K Wang, J Tang Proceedings of the eleventh ACM international conference on web search and …, 2018 | 648 | 2018 |
| A unified approach to ranking in probabilistic databases J Li, B Saha, A Deshpande The VLDB Journal 20 (2), 249-275, 2011 | 248 | 2011 |
| Brits: Bidirectional recurrent imputation for time series W Cao, D Wang, J Li, H Zhou, L Li, Y Li NeurIPS 2018, 2018 | 209 | 2018 |
| When will you arrive? estimating travel time based on deep neural networks D Wang, J Zhang, W Cao, J Li, Y Zheng Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 203 | 2018 |
| DeepSD: Supply-demand prediction for online car-hailing services using deep neural networks D Wang, W Cao, J Li, J Ye 2017 IEEE 33rd international conference on data engineering (ICDE), 243-254, 2017 | 166 | 2017 |
| When LP is the cure for your matching woes: Improved bounds for stochastic matchings N Bansal, A Gupta, J Li, J Mestre, V Nagarajan, A Rudra Algorithmica 63 (4), 733-762, 2012 | 139 | 2012 |
| Gradient descent maximizes the margin of homogeneous neural networks K Lyu, J Li ICLR 2020, 2019 | 119 | 2019 |
| Netsmf: Large-scale network embedding as sparse matrix factorization J Qiu, Y Dong, H Ma, J Li, C Wang, K Wang, J Tang The World Wide Web Conference, 1509-1520, 2019 | 106 | 2019 |
| Data generation using declarative constraints A Arasu, R Kaushik, J Li Proceedings of the 2011 ACM SIGMOD International Conference on Management of …, 2011 | 97 | 2011 |
| Optimal PAC multiple arm identification with applications to crowdsourcing Y Zhou, X Chen, J Li International Conference on Machine Learning, 217-225, 2014 | 92 | 2014 |
| Algorithms on Minimizing the Maximum Sensor Movement for Barrier Coverage of a Linear Domain D Chen, Y Gu, J Li, H Wang Algorithm Theory–SWAT 2012, 177-188, 2012 | 87 | 2012 |
| Combinatorial multi-armed bandit with general reward functions W Chen, W Hu, F Li, J Li, Y Liu, P Lu Advances in Neural Information Processing Systems 29, 2016 | 86 | 2016 |
| Sensitivity analysis and explanations for robust query evaluation in probabilistic databases B Kanagal, J Li, A Deshpande Proceedings of the 2011 ACM SIGMOD International Conference on Management of …, 2011 | 85 | 2011 |
| Cost-effective crowdsourced entity resolution: A partial-order approach C Chai, G Li, J Li, D Deng, J Feng Proceedings of the 2016 International Conference on Management of Data, 969-984, 2016 | 81 | 2016 |
| Energy efficient scheduling via partial shutdown S Khuller, J Li, B Saha Proceedings of the twenty-first annual ACM-SIAM symposium on Discrete …, 2010 | 68 | 2010 |
| CDB: optimizing queries with crowd-based selections and joins G Li, C Chai, J Fan, X Weng, J Li, Y Zheng, Y Li, X Yu, X Zhang, H Yuan Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 66 | 2017 |
| A simple proximal stochastic gradient method for nonsmooth nonconvex optimization Z Li, J Li NeurIPS 2018, 2018 | 65 | 2018 |
| Learning gradient descent: Better generalization and longer horizons K Lv, S Jiang, J Li International Conference on Machine Learning, 2247-2255, 2017 | 63 | 2017 |
| Consensus answers for queries over probabilistic databases J Li, A Deshpande Proceedings of the twenty-eighth ACM SIGMOD-SIGACT-SIGART symposium on …, 2009 | 61 | 2009 |
| Ranking continuous probabilistic datasets J Li, A Deshpande Proceedings of the VLDB Endowment 3 (1-2), 638-649, 2010 | 60 | 2010 |
Amol DeshpandeProfessorcs.umd.edu의 이메일 확인됨
